Javier Rodriguez Puigvert, Till Krempel, and Arnulph Fuhrmann.
Localization service using sparse visual information based on recent augmented reality platforms.
In Adjunct Proceedings of the IEEE International Symposium for Mixed and Augmented Reality 2018 (To appear). 2018.
The ability to localize a device or user precisely within a known space, would allow many use cases on the context of location-based augmented reality. We propose a localization service based on sparse visual information using ARCore [4, a state-of-the-art augmented reality platform for mobile devices. Our service is constituted by two components: front-end and back-end. On the front-end, using the point cloud generated by ARCore as feature points, a corresponding binary keypoint descriptor algorithm like ORB  or FREAK  is computed to describe the place. On the back-end, this binary descriptor is searched in a map using the bags of binary words technique [3, responding with the position of the recognized place.